Top 5 with above average – Power Pivot Trick

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Power Mondays - Learn all about Power BI, Power Pivot and Power QueryWelcome to Power Mondays. Every Monday, learn all about Power BI, Power Query & Power Pivot in full length examples, videos or tips. In this installment, learn how to get top 5 list with a twist.

Let’s say you are analyzing sales data and you want to know who are your top 5 with above average sales persons?

Of course, this is simple, you just create a pivot to see total sales by person and then sort the pivot. First five rows have the answer you need. You can even apply a value filter > top 5 to show only their data.

Top 5 with above average - Power Pivot calculations

But what if there is a twist in the story?

You need to show top 5 sales people (by order quantity) with above average orders, like below:

top 5 with a twist - pivot demo

Now things get interesting. We couldn’t create a regular pivot to get this answer. So what next? 

Calculating Top 5 with Above Average sales in Power Pivot

We can use Power Pivot to answer such questions elegantly. Read this 3 step tutorial to learn the process.

1. Arrange the data and send it to model

Let’s say your sales data looks like this. First column is the name of sales person and second column is order quantity. Convert your data to a table.

sales data example

Now insert a pivot from this table. Make sure you enabled the “Add this data to data model” option so we can build measures thru Power Pivot.

add to data model option excel pivot tables

2. Create measures to find out “Above average orders”

Go to Pivot table field list and right click on the table name. You will see “Add measure” option. Click on it.

We will create 3 measures.

  1. Order Count:= COUNTROWS(data)
  2. Average Order Size := CALCULATE(AVERAGE(data[Orders]), ALL(data))
  3. Order Count > Avg. Order Size := CALCULATE([Order Count], FILTER(data, data[Orders] > [Average Order Size]))

Let’s understand these measures:

  1. Order Count: This simply counts the rows in data table. As each row is one order, you get order count.
  2. Average Order Size: This tells us the average order size for ALL orders ; hence the ALL(data)
  3. Order Count > Avg. Order Size: This calculates [Order Count] (ie row count) by first filtering orders that are > [Average Order Size]. So we end up counting orders where the order size is more than the total average.
If you never created measures, check out this excellent introduction to DAX measures for Power Pivot

3. Set up the pivot and apply top 5 filter

Now that we calculated all the necessary bits, let’s put this in to action.

  1. Add sales person to row labels and add Order count > Avg. order size to values area
  2. Now go to filter on “Sales Person” > Value Filters > Top 10…
  3. Set up the top 5 value filter as shown below.

top 5 filter - pivot tables

You are done. You will get top 5 sales persons by above average order count. Feel free to reverse the top 5 to bottom 5 or calculate some other measures.

top 5 with a twist - demo

Download top 5 with a twist – Example workbook

Click here to download top 5 with a twist example workbookExamine the measures by going to Data > Manage Data Model or use them in a pivot. Go ahead and create some other measure and test it.

More DAX for you…

If you are learning Power Pivot, check out these examples too:

 

Thanks to @mjm8686’s tweet which inspired this post.

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11 Responses

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